#prompt engineering
All links tagged #prompt engineering
Almost every day, there’s at least one post complaining about Copilot "small" context windows for models. I’ll show you how to use subagents...
How a hidden prompt injection in CONTRIBUTING.md revealed that 40% of pull requests to a popular GitHub repository were generated by AI bots
I've read a lot of articles like this in the past months and there seems to be a really big problem with bots, ai slop and open source projects.
Genuinely the idea this guy had is great; everybody should do it as long it is working.
Be an AI, answer prompts, trigger a RAM crisis
Your AI Slop Bores Me is a clever, chaotic experiment that turns the tables on the current state of the internet by replacing automated responses with human-powered creativity. Instead of interacting with a sterile language model, you enter a marketplace of live interactions where users must "larp as AI" to earn credits, sketching or writing replies for others under a tight deadline.
It’s like _Omegle) with a chat interface (and minus the d***s).
Fabric is an open-source framework for augmenting humans using AI. It provides a modular system for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere. - dan...
Fabric is an open-source CLI/GUI framework augmenting humans via modular AI prompts (patterns) for tasks like summarizing, extracting wisdom from YouTube, code review, and image generation. Supports providers like OpenAI, Anthropic, Gemini; features web search, TTS, i18n, notifications. Community-driven with rapid updates, custom patterns, and integrations. Install via curl/Go; emphasizes prompt organization to integrate AI into daily life without app overload.
可以创建一个文件，自动向询问 Copilot Chat 的所有问题中添加信息。
Beast Mode. GitHub Gist: instantly share code, notes, and snippets.
Mastering the Art of Prompt Engineering with GPT-4 Models Prompt engineering is an emerging discipline in the world of AI, particularly with the advent of advanced language models like GPT-4. This …
Master GPT-4 prompts: clear instructions/reference text/split tasks/demos/think steps/tools/test changes. Tactics: details/persona/delimiters/steps/examples/length control. Examples: travel guide/persona physics/steps French Rev/summary Curie. Experiment iteratively.
We offer several different AI Models for our players to choose from and play their Adventures with, each with unique characteristics and specialties. Below is a list detailing what makes each of them stand out and some community-provided example Settings and AI Instructions you can use for a more engaging experience. If you have any specific questions that aren't answered here, consider joining our Discord, where our knowledgeable Helpers can answer them!
From creative ruts to self-doubt spirals, these helpe me break through
AI Engineer at ANZ Bank working on intelligent systems, LLM optimization, and scalable ML platforms.
TL;DR: Utkarsh Kanwat bets against AI agents dominating software development soon due to reliability gaps in complex tasks.
Agents excel in narrow scopes but falter on edge cases, security, and integration. Human oversight remains crucial for production.
He advocates for hybrid approaches where agents assist with routine work, freeing developers for architecture and debugging.
How Mortimer Adler’s 1940 manifesto exposed our AI note-taking trap.
AI prompt engineering workbench for crafting, testing, and systematically evaluating prompts with powerful analysis tools. - insaaniManav/prompt-forge
Discover the Missing Guide to Prompt Engineering: practical frameworks to craft effective AI prompts, dodge common pitfalls, and future-proof your workflow.
Prompt engineering isn't going anywhere. People keep saying it's dead, that the next model will make it obsolete. They said the same thing about ChatGPT 4, then Claude, then Gemini Pro. Even though the AI models are becoming more powerful each day, a poorly prompted AI response could hinder your ability to get the right results.